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Questions and Answers
Parallel coordinates are commonly used in multivariate data visualization to show patterns across multiple variables.
Parallel coordinates are commonly used in multivariate data visualization to show patterns across multiple variables.
True (A)
In parallel coordinates, each vertical axis represents a different category in a dataset.
In parallel coordinates, each vertical axis represents a different category in a dataset.
False (B)
The main downside of parallel coordinates is that too many overlapping lines can create visual clutter.
The main downside of parallel coordinates is that too many overlapping lines can create visual clutter.
True (A)
Scaling and axis ordering are two ways to improve the readability of parallel coordinates plots.
Scaling and axis ordering are two ways to improve the readability of parallel coordinates plots.
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Brushing in parallel coordinates allows users to emphasize certain lines while fading others to reduce clutter.
Brushing in parallel coordinates allows users to emphasize certain lines while fading others to reduce clutter.
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To interpret parallel coordinates, lines that follow similar paths suggest correlations among variables.
To interpret parallel coordinates, lines that follow similar paths suggest correlations among variables.
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